Scoop Self-Serve for Customer Success

Your customers are telling you everything.
You just can't hear it.

Churn signals, expansion opportunities, health drivers. The answers are buried across your CRM, product data, and support tickets. Scoop investigates all of it and tells you what's actually going on.

Try it with your own data or get started with ours. No credit card required.

Scoop Analytics Dashboard
The problem

Your CS Platform Shows You What. But Never Why.

Black-Box Health Scores

Your health scores change, but nobody can explain the math. CSMs don't trust what they can't understand, leading to poor adoption and missed saves.

Static Segmentation

SMB/Mid-Market/Enterprise segments ignore how customers actually behave. You're missing expansion opportunities hiding in plain sight.

Analysis Bottlenecks

Waiting weeks for data team to run analysis means opportunities expire. By the time you get insights, it's too late to act.

How it works

Connect your CS data. Ask questions. Get real answers.

Scoop connects to your existing tools and investigates your customer data step by step. No data team required.

How Scoop Works for CS Teams

graph LR A[Your CS Data
CRM + Product + Support] --> B[Scoop ML Engine] B --> C{AI Analysis} C --> D[Churn Risk Scores] C --> E[Expansion Segments] C --> F[Health Drivers] D --> G[Write to CRM Fields
+ Trigger CS App Playbooks] E --> G F --> G style A fill:#F8F9FA,stroke:#4763F5,stroke-width:2px style B fill:#4763F5,stroke:#333,stroke-width:2px,color:#fff style C fill:#E3165B,stroke:#333,stroke-width:2px,color:#fff style D fill:#4763F5,stroke:#333,stroke-width:2px,color:#fff style E fill:#4763F5,stroke:#333,stroke-width:2px,color:#fff style F fill:#4763F5,stroke:#333,stroke-width:2px,color:#fff style G fill:#4763F5,stroke:#333,stroke-width:2px,color:#fff
Capabilities

Data Science for CS Teams. No PhD Required.

1

Explainable AI Models

Every prediction comes with the exact IF-THEN logic. CSMs see why scores changed and can explain it to customers.

2

Behavioral Clustering

AI discovers segments like "Power users who never contact support" automatically. Target the right plays to the right cohorts.

3

One-Click Analysis

From uploading data to actionable insights in minutes. No SQL, no Python, just point and click.

Use cases

Concrete Plays You Can Run Day One

Early Warning Churn Detection

Data Fed: Product usage, support tickets, NPS, payment status
Scoop Output: Decision tree + churn probability written to Account.Churn_Risk__c
Action: CS App fires CTA at 30% probability with exact risk drivers visible

Expansion Opportunity Discovery

Data Fed: Seat utilization, feature adoption, user invites, contract tier
Scoop Output: Clusters: "Growth-Ready", "At-Capacity", "Lagging Adoption"
Action: Marketing targets "Growth-Ready" with upgrade offers automatically

Period-Over-Period Analysis

Data Fed: All customer data with time stamps
Scoop Output: Q4 churn linked to Feature Y usage < 5 events per seat
Action: Product team prioritizes onboarding improvements for Feature Y

Stop guessing. Start knowing.

Connect your customer data, ask your questions, and get real answers. Starting today.

$99/mo billed annually. Free trial, no credit card required.

Enterprise

What if the AI already knew your business?

Domain Intelligence learns what your best people look for, what triggers concern, and what they'd recommend. Then it investigates your entire operation that way, automatically.

Explore Domain Intelligence →